\hypertarget{classpgpr__ppic}{\section{pgpr\+\_\+ppic Class Reference}
\label{classpgpr__ppic}\index{pgpr\+\_\+ppic@{pgpr\+\_\+ppic}}
}


This class provides the regression function using P\+I\+C Approximation, but implemented in a paralle manner.  




{\ttfamily \#include $<$pgpr\+\_\+ppic.\+h$>$}

\subsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
\hypertarget{classpgpr__ppic_a265983e631160128b356f3a04532622d}{{\bfseries pgpr\+\_\+ppic} (Char $\ast$hypf)}\label{classpgpr__ppic_a265983e631160128b356f3a04532622d}

\item 
\hypertarget{classpgpr__ppic_adbb199505cefb82f2765e259100f52e1}{Int {\bfseries regress} (Char $\ast$train, Char $\ast$test, Char $\ast$support, Int blocks)}\label{classpgpr__ppic_adbb199505cefb82f2765e259100f52e1}

\item 
\hypertarget{classpgpr__ppic_a765337e712a4eeb5c2de3e9c0ea7241b}{void {\bfseries output\+Rst} (Char $\ast$output)}\label{classpgpr__ppic_a765337e712a4eeb5c2de3e9c0ea7241b}

\end{DoxyCompactItemize}


\subsection{Detailed Description}
This class provides the regression function using P\+I\+C Approximation, but implemented in a paralle manner. 

The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize}
\item 
src/\hyperlink{pgpr__ppic_8h}{pgpr\+\_\+ppic.\+h}\end{DoxyCompactItemize}
